== Tutorial on Quick and Easy Model Fitting Using the SLoM Framework ==
[[en/ChristophHertzberg|Christoph Hertzberg]], [[en/ReneWagner|René Wagner]], and [[en/UdoFrese|Udo Frese]]

=== Abstract ===
In many areas of experimental science ranging from robotics to psychophysical research, to evaluation of spatial sensor-data and surveying, model fitting is a ubiquitous subproblem. Often it is not the actual scientific goal but rather the necessary evil of calibrating the equipment. This tutorial introduces methodology and a library allowing to solve model fitting problems easily without requiring the user to have an in-depth understanding of this subject. 

After a brief introduction to the theoretical background we guide the reader through using all main features of the SLoM C++ framework based on a stereo camera and inertial measurement unit (IMU) calibration example which is solved with less than 70 lines of non-problem specific code, and provide hints on applying SLoM to other classes of problems. 

The reader is only assumed to have a working knowledge of C++ and a basic understanding of statistics and 3D geometry.

=== Paper ===
The paper as submitted to [[http://sc2012.informatik.uni-freiburg.de/ | Spatial Cognition 2012]] is [[http://www.informatik.uni-bremen.de/agbkb/publikationen/bibsearch/detail_e.htm?pk_int=2929|available here]] ([[http://www.informatik.uni-bremen.de/agebv/downloads/published/hertzbergSC12.pdf|PDF]]).

=== Source Code and Data Set ===
Coming soon